Seng-Beng Ho

According to our database1, Seng-Beng Ho authored at least 25 papers between 1986 and 2020.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
A review of emotion sensing: categorization models and algorithms.
Multim. Tools Appl., 2020

Multi-Level Fine-Scaled Sentiment Sensing with Ambivalence Handling.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2020

Achieving Human Expert Level Time Performance for Atari Games - A Causal Learning Approach.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Actional-Perceptual Causality: Concepts and Inductive Learning for AI and Robotics.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

2019
Language and Robotics: Complex Sentence Understanding.
Proceedings of the Intelligent Robotics and Applications - 12th International Conference, 2019

On Human-Like Performance Artificial Intelligence - A Demonstration Using an Atari Game.
Proceedings of the Artificial Intelligence and Security - 5th International Conference, 2019

On True Language Understanding.
Proceedings of the Artificial Intelligence and Security - 5th International Conference, 2019

2018
Learning Correlations and Causalities Through an Inductive Bootstrapping Process.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Stock Market Prediction Analysis by Incorporating Social and News Opinion and Sentiment.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2017
The Role of Synchronic Causal Conditions in Visual Knowledge Learning.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Principles of Noology: A Theory and Science of Intelligence for Natural and Artificial Intelligence.
Proceedings of the 2017 AAAI Spring Symposia, 2017

On Inductive Learning of Causal Knowledge for Problem Solving.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

Causal Learning versus Reinforcement Learning for Knowledge Learning and Problem Solving.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
A Principled Framework for General Adaptive Social Robotics.
Int. J. Artif. Life Res., 2016

A ground level causal learning algorithm.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Cognitive Architecture for Adaptive Social Robotics.
Proceedings of the Intelligent Robotics and Applications - 9th International Conference, 2016

2014
A rapid learning and problem solving method: Application to the StarCraft game environment.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Human-like Intelligence, 2014

On Effective Causal Learning.
Proceedings of the Artificial General Intelligence - 7th International Conference, 2014

2013
A grand challenge for computational intelligence a micro-environment benchmark for adaptive autonomous intelligent agents.
Proceedings of the 2013 IEEE Symposium on Intelligent Agents, 2013

The Atoms of Cognition: Action Learning and Problem Solving.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Perception and prediction - A connectionist model.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence for Human-like Intelligence, 2013

Knowledge Representation, Learning, and Problem Solving for General Intelligence.
Proceedings of the Artificial General Intelligence - 6th International Conference, 2013

Operational Representation - A Unifying Representation for Activity Learning and Problem Solving.
Proceedings of the 2013 AAAI Fall Symposia, Arlington, Virginia, USA, November 15-17, 2013, 2013

2012
The Atoms of Cognition: A Theory of Ground Epistemics.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

1986
Shape Smoothing Using Medial Axis Properties.
IEEE Trans. Pattern Anal. Mach. Intell., 1986


  Loading...